Mapping Disease and Mortality Rates Using Empirical Bayes Estimators

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Abstract
"Methods for estimating regional mortality and disease rates, with a view to mapping disease, are discussed. A new empirical Bayes estimator, with parameters simply estimated by moments, is proposed and compared with iterative alternatives suggested by Clayton and Kaldor." The author develops a local shrinkage estimator in which a crude disease rate is shrunk toward a local, neighborhood rate. The estimators are compared using simulations and an empirical example based on infant mortality data for Auckland, New Zealand.

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